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ivyh銅蟲(chóng) (初入文壇)
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麻煩,可否有人在istp-ssh里面幫忙查篇文章
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RT:作者:Li Hui, 題目:Application of Discriminate Analysis in Credit Ratings,據(jù)說(shuō)是2012年11月在上海開(kāi)的會(huì)議 謝謝! |
鐵桿木蟲(chóng) (著名寫手)
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恭喜 Application of Discriminate Analysis in Credit Ratings 作者: Li, H (Li Hui)[ 1 ] ; Lin, CQ (Lin Changqing) 編者: Tang, HY 來(lái)源出版物: PROCEEDINGS OF THE 5TH CONFERENCE ON CHINA'S ECONOMIC OPERATION RISK MANAGEMENT 頁(yè): 77-88 出版年: 2011 被引頻次: 0 (來(lái)自 Web of Science) 引用的參考文獻(xiàn): 24 [ 查看 Related Records ] 引證關(guān)系圖 會(huì)議: 5th Conference on China's Economic Operation Risk Management 會(huì)議地點(diǎn): China Lixin Risk Management Res Inst, Shanghai, PEOPLES R CHINA 會(huì)議日期: NOV 04-06, 2011 會(huì)議贊助商: Shanghai Lixin Univ Commerce; Econom Res Journal; Riskchina Res Ctr; Univ Toronto 摘要: In this paper, 275 bond issuers are divided different categories according to their historical credit rates, based on which, a Fisher Linear Discriminate Analysis (LDA) model is utilized for their classifications prediction and testing their precision rates. Some significant different indicators in credit ratings are selected from 20 common financial ones by Fisher test, and further construct a Linear Discriminate Function (LDF). In addition, a comparison study shows that LDA prediction with single industry is superior to its counterparties, which demonstrates the importance of discriminating industry and evaluating individually different industry risk. 入藏號(hào): WOS:000306259300010 文獻(xiàn)類型: Proceedings Paper 語(yǔ)種: English 作者關(guān)鍵詞: Credit rating; Fisher test; Fisher discriminate analysis; Linear discriminate function KeyWords Plus: FINANCIAL RATIOS; BANKRUPTCY; PREDICTION; FAILURE 地址: [ 1 ] Renmin Univ China, Sch Stat, Beijing 100872, Peoples R China 電子郵件地址: leephil@ruc.edu.cn; tyousei2011@163.com 出版商: UNIVERSE ACADEMIC PRESS TORONTO, 1 SPADINA CRESCENT, ROOM 205, TORONTO, ONTARIO M5S 3G3, CANADA Web of Science 類別: Economics; Management 研究方向: Business & Economics IDS 號(hào): BBA19 ISBN: 978-1-926642-10-9 |
銅蟲(chóng) (小有名氣)
銅蟲(chóng) (小有名氣)
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